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Machine Learning Engineer, Recommendation Systems

SpaceXSIPalo Alto🇺🇸United States

Why this role stands out

As a Machine Learning Engineer at SpaceXAI, you'll have the opportunity to shape recommendation systems used by millions, driving significant impact on a global scale and fostering continuous learning in a flat, collaborative environment. This role is perfect for a driven engineer with a strong scientific background who thrives on tackling complex challenges and contributing directly to groundbreaking AI advancements. Apply now to join a mission-driven team at the forefront of AI innovation.

Quick overview

Salary$180k - $440k/yr
SeniorityMid Senior
Work modeHybrid
LocationPalo Alto, United States
CUDADeep LearningKafkaPyTorchMachine Learning

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

MACHINE LEARNING ENGINEER, RECOMMENDATION SYSTEMS

We’re seeking exceptional engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You’ll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.

RESPONSIBILITIES:

  • Designing and architecting recommendation algorithms across various product surfaces
  • Leverage all of SpaceXSI's infra and AI stacks to dramatically enhance the user experience
  • Write data pipelines and training jobs that continuously learn from product data
  • Iterate and improve the algorithm by gathering user feedback in real time through experimentation
  • Ensuring scalability and efficiency of machine learning systems

BASIC QUALIFICATIONS:

  • Experience in implementing recommender systems and/or deep learning applications at industrial scale

PREFERRED SKILLS AND EXPERIENCE:

  • Experience in writing CUDA kernels
  • Skilled in one or more DL software frameworks such as JAX or PyTorch
  • Knowledge of data infrastructure like Kafka, Clickhouse, and Spark

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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